Hello World - Machine Learning Recipes #1
6 人推荐 · 跨 5 个月 · 2016–2017
中文导读
Google 机器学习秘籍系列的第一期视频，带零基础开发者快速建立机器学习心智模型，并用六行 Python 与 scikit-learn 手把手训练出一个苹果与橘子的经典分类器。
为什么 HN 推它
HN 极力推荐的程序员机器学习破冰第一课，用极少代码破除高深算法的神秘感。
「非常容易上手！第一堂课就是教你训练一个区分苹果和橘子的分类器。」HN 网友原话：Very approachable! The first lesson is a classifier to separate apples and oranges.
英文原摘要（HackerTube / Claude 整理）
The first episode of Google's Machine Learning Recipes series. It introduces machine learning and builds a first supervised-learning classifier in about six lines of Python using scikit-learn.
HN commenters recommend it as an approachable first step into machine learning for programmers, with an apples-vs-oranges classifier.
HN 上的提及
This series by Josh Grodin got started recently and looks promising.
2. Write basic Machine Learning code
you'll be able to do cool stuff with machine learning.
scikit-learn is a better way to get started with machine learning.
Very approachable! The first lesson is a classifier to separate apples and oranges.